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Amazon DynamoDB vs Azure Table Storage

Amazon DynamoDB: AWS's serverless key-value and document store with single-digit-millisecond reads at any scale. Azure Table Storage: Cheap, schemaless key-attribute store inside an Azure Storage account.

key differences

  • Amazon DynamoDB is built for larger datasets (Multi-PB) than Azure Table Storage (≤ 1 PB).
  • Only Amazon DynamoDB has secondary indexes, json, change data capture, triggers, ttl / expiry.

choose amazon-dynamodb for

  • +Serverless application backends on Lambda
  • +User profiles, sessions and shopping carts
  • +High-traffic e-commerce and gaming state
  • +IoT device state and metadata

best at · OLTP, Sessions, Cache

choose azure-table-storage for

  • +Application logs and diagnostics
  • +Device and user metadata keyed by ID
  • +Lightweight configuration storage
  • +Cheap archival of structured records

best at · Metadata, IoT, Coordination

Amazon DynamoDBAWS's serverless key-value and document store with single-digit-millisecond reads at any scale.
Azure Table StorageCheap, schemaless key-attribute store inside an Azure Storage account.
overview
Primary model
Key-Value
Key-Value
Also supports
Document
Wide-Column
Type
Managed service
Managed service
Status
Active
Active
Developer
Amazon Web Services
Microsoft
First release
2012
2010
Latest version
–
–
License
ProprietaryProprietary (AWS service)
ProprietaryProprietary (Azure service)
Free tier
✓
—
popularity
WhichDB Score
63.3
19.7
Rank
#14
#162
GitHub stars
–
–
Stack Overflow questions
14.3K
2.4K
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
Active active
Read replicas
ACID
Limited
Limited
Consistency
Strong, Eventual
Strong
Schema
Schemaless
Schemaless
Architecture
Distributed, Serverless
Distributed, Serverless
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
—
—
Clouds
AWS
Azure
capabilities
Transactions
✓
✓
Joins
—
—
Secondary indexes
✓
—
Full-text search
—
—
Vector search
—
—
Geospatial
—
—
JSON
✓
—
Change data capture
✓
—
Triggers
✓
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
✓
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
—
—
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
✓
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
✓
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
DynamoDB API, PartiQL
OData
Client languages
Java, Python, JavaScript, Go, C#, .NET, Rust, Ruby
C#, .NET, Java, Python, JavaScript, Go
Best for
OLTP, Sessions, Cache, Metadata
Metadata, IoT, Coordination, Observability
Add more to this comparisonNot sure either fits? Try smart match

Amazon DynamoDB vs Azure Table Storage: FAQ

What is the difference between Amazon DynamoDB and Azure Table Storage?

Amazon DynamoDB: AWS's serverless key-value and document store with single-digit-millisecond reads at any scale. Azure Table Storage: Cheap, schemaless key-attribute store inside an Azure Storage account. Amazon DynamoDB is built for larger datasets (Multi-PB) than Azure Table Storage (≤ 1 PB). Only Amazon DynamoDB has secondary indexes, json, change data capture, triggers, ttl / expiry.

When should I choose Amazon DynamoDB over Azure Table Storage?

Choose Amazon DynamoDB for serverless application backends on Lambda; user profiles, sessions and shopping carts; and high-traffic e-commerce and gaming state. Choose Azure Table Storage for application logs and diagnostics; device and user metadata keyed by ID; and lightweight configuration storage.

Is Amazon DynamoDB or Azure Table Storage more popular?

Amazon DynamoDB ranks #14 on the WhichDB Score (63.3/100) and Azure Table Storage ranks #162 (19.7/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon DynamoDB and Azure Table Storage open source?

No. Amazon DynamoDB is proprietary, closed-source software. No. Azure Table Storage is proprietary, closed-source software.